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GML In-Depth: three forms of self-supervised learning
"Excelling at chess has long been considered a symbol of more general intelligence. That is an incorrect assumption in my view, as pleasant as it might…
May 6, 2021 • 
Sergey Ivanov
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Graph Machine Learning
Graph Machine Learning
GML In-Depth: three forms of self-supervised learning
GML Express: large-scale challenge, top papers in AI, and implicit planners.
“Why do old men wake so early? Is it to have one longer day?” Ernest Hemingway
Mar 22, 2021 • 
Sergey Ivanov
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Graph Machine Learning
Graph Machine Learning
GML Express: large-scale challenge, top papers in AI, and implicit planners.
GML Express: Graph ML in Industry Workshop, Geometric Deep Learning, and New Software.
"The real voyage of discovery consists not in seeking new lands but seeing with new eyes." Marcel Proust
Sep 21, 2021 • 
Sergey Ivanov
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Graph Machine Learning
Graph Machine Learning
GML Express: Graph ML in Industry Workshop, Geometric Deep Learning, and New Software.
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GML Newsletter: Homophily, Heterophily, and Oversmoothing for GNNs
"Birds of a feather flock together"
Mar 1, 2021 • 
Sergey Ivanov
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Graph Machine Learning
Graph Machine Learning
GML Newsletter: Homophily, Heterophily, and Oversmoothing for GNNs
GML Express: keynotes at ICLR, topics at ICML 2021, and new GNN tutorials.
"There are 3 ways to make a living: be first, be smarter, or cheat." Margin Call
Jun 14, 2021 • 
Sergey Ivanov
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Graph Machine Learning
GML Express: keynotes at ICLR, topics at ICML 2021, and new GNN tutorials.
GML Newsletter: Interpolation and Extrapolation of Graph Neural Networks
A trend is a trend is a trend, But the question is, will it bend? Will it alter its course Through some unforeseen force And come to a premature end? …
Feb 2, 2021 • 
Sergey Ivanov
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Graph Machine Learning
GML Newsletter: Interpolation and Extrapolation of Graph Neural Networks
GML Newsletter: Do we do it right?
"Just because someone else does the wrong thing we are not exempt from doing what’s right.”
Jan 18, 2021 • 
Sergey Ivanov
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Graph Machine Learning
GML Newsletter: Do we do it right?
3
Issue #1: Introduction, PAC Isometry, Over-Smoothing, and Evolution of the Field.
Welcome! Three years ago Sebastian Ruder started his NLP newsletter with the words that “NLP is seeing increasing interest recently”. Today NLP is at…
Aug 6, 2020 • 
Sergey Ivanov

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Graph Machine Learning
Issue #1: Introduction, PAC Isometry, Over-Smoothing, and Evolution of the Field.
GML Newsletter - Issue #5: Was 2020 a good year for graph research?
“Knowledge is like money: To be of value it must circulate, and in circulating it can increase in quantity and, hopefully, in value.” Welcome! NeurIPS…
Dec 14, 2020 • 
Sergey Ivanov

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Graph Machine Learning
Graph Machine Learning
GML Newsletter - Issue #5: Was 2020 a good year for graph research?
GML newsletter. Issue #2: Laplacians, Scaling GNNs, KDD, MLSS, Books, and more!
Welcome to the 2nd issue of GML newsletter! The summer is over 🌄 and it’s time to get back to school 🏫 (or to self-study with this newsletter). In…
Sep 3, 2020 • 
Sergey Ivanov

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Graph Machine Learning
Graph Machine Learning
GML newsletter. Issue #2: Laplacians, Scaling GNNs, KDD, MLSS, Books, and more!
GML Newsletter - Issue #4: NeurIPS 2020
Welcome to the 4th issue of GML newsletter! This issue I decided to devote to the upcoming NeurIPS 2020 (6-12 December), covering what authors and…
Nov 9, 2020 • 
Sergey Ivanov

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Graph Machine Learning
GML Newsletter - Issue #4: NeurIPS 2020
GML Newsletter - Issue #3: Large Hadron Collider, Hyperfood, and Manifold Learning.
Welcome to the 3rd issue of GML newsletter! I hope your papers got accepted to NeurIPS and submitted to ICLR, so that you can take a cup of coffee ☕ and…
Oct 8, 2020 • 
Sergey Ivanov

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Graph Machine Learning
Graph Machine Learning
GML Newsletter - Issue #3: Large Hadron Collider, Hyperfood, and Manifold Learning.
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